We feed our SSE model on 4 frame-level pre-trained features: CPC (last layer as in [1]}), Wav2vec2.0 (Base at layer 8 and Large at layer 15 as in [2]}), and Hubert Large (last layer as in [3]}). We add MFCC (40 coefficients) for comparison. All hyper-parameters were chosen by gridsearch on the LibriSpeech to maximizes the MAP scores on the dev-clean set.
